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INDONESIA
IJIES (International Journal of Innovation in Enterprise System)
Published by Universitas Telkom
ISSN : -     EISSN : 25803050     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Arjuna Subject : -
Articles 8 Documents
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Search results for , issue "Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System" : 8 Documents clear
Designing an Instrument to Conduct a Survey on Requirement Reuse Practices in Malaysia Tungadi, Adri Riawan; Che Pa, Noraini; Ali, Norhayati Md; Aris, Noranis Mohd; Atan, Rodziah; Ban, Ainita; Hamdan, Hazlina; Ariffin, Mohamed Hazrat
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

A set of questionnaire was designed to study the current state of requirement reuse practices in Malaysia. This paper describes the design of the survey on requirement reuse practice instrument, and the assessment of its reliability and validity. Cronbach’s Alpha test was used to check on its reliability and respondents’ feedback, to assess the level of understanding, the level of difficulty in responding and the level of relevancy to the subject area including the duration taken to complete the questionnaire. Results from the feedback suggested three main issues that need to be looked upon as a way to improve the instrument design. Future efforts will focus on improving the structure and contents of the questionnaire in order to achieve higher reliability and better number of responses to study on requirement reuse. Keywords—requirement reuse, requirement, engineering, software development, survey design
Co-Reflective System: Supporting Collaborative Critical Thinking and Knowledge Building Gondosubroto, Renaldi; Salam, Maimoona; Ibrahim, Dayang Hanani Abang; skandar, Dayang Nurfatimah Awang I
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Service-learning pedagogy provides practical learning experience for students by integrating community service with academic learning. However, experience is not enough, reflection on that experience is essential to produce new understanding. The concept of collaborative reflection has been recognized recently however, there is lack of research on how to structure guided collaborative reflection to view the process of knowledge building and how technologies can support it. To shed light on this issue, this study proposed a computational workflow of structured collaborative reflection which is adopted from integrated collaborative reflection model and implement a prototype (i.e. named as ‘Co-Reflective’) to proof the concept how Computer Supported Collaborative Reflection System (CSCRS) is supporting collaborative critical thinking and knowledge building. For this purpose, design science research methodology was employed in this study. The evaluation of Co-Reflective is provided where we asked our participants to evaluate their experience and give feedback about system. Based on the positive feedback of participants we conclude that Co-Reflective can effectively support for guided collaborative reflection activities to promote collaborative critical thinking and knowledge building. Implementation of Co-Reflective not only addresses the limitations of current technologies but also contribute in the body of knowledge by presenting the concept of integrated collaborative reflection model that promotes collaborative critical thinking and knowledge building. Keywords—collaborative knowledge building, collaborative reflection, Computer Supported Collaborative Reflection System (CSCRS), service learning.
An Architecture of Decision Support System for Visual-Auditory-Kinesthetic (VAK) Learning Styles Detection Through Behavioral Modelling Mohd, Fatihah; Wan Yahya, Wan Fatin F atihah; Ismail, Suryani; Jalil, Masita Abdul; Noor, Noor Maizura Mohamad
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Learning style (LS) is a description of the attitudes and behaviors which determine an individual’s preferred way of learning. Since each student has different LS, it is important for the teacher to recognize the differences in LS. Thus, an appropriate technique to detect students' LS, improve the motivation and academic achievement are required. The common approach using questionnaires to identify LS is less accurate due to complete the questionnaire is a tedious task for students and tend to choose answers randomly without understanding the questions. Emotions such as anger, sadness, and happiness resulting the different questionnaire answers. Due to the approach constrains, this study has focused on automated approaches that identify student LS from student behavior in the learning process. Implementation of decision support system (DSS) as automated application systems is needed to help teachers make decisions in determining students' LS. Thus, the objective of this study is to propose the architecture of LS detection automatically using decision support system. The development of the architecture is applying the behavioral modelling, that are contained student’s behavior parameters for visual-auditory-kinesthetic (VAK) model. Evaluation of the architecture is tested with the precision DSS engine. The accuracy of the rule technique achieves significant 80% accuracy. This study aims to help teachers to identify the ability of the student through the learning style (LS) in order to create effectiveness of learning and improving student’s achievement indirectly. Keywords— decision support system, reasoning engines, learning style detection, user behavior, visual-auditory-kinesthetic (VAK) model
An Insider Threat Categorization Framework for Automated Manufacturing Execution System Putri, Nilda Tri; Elsera, Azira Fitria; Mohammad, Nur Ameera Natasha; Yassin, Warusia Mohamed; Ahmad, Rabiah; Hassan, Aslinda; Al Mhiqani, Mohammed Nasser Ahmed
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Insider threats become one of the most dangerous threats in the cyber world as compared to outsider as the insiders have knowledge of assets. In addition, the threats itself considered in-visible and no one can predict what, when and how exactly the threat launched. Based on conducting literature, threat in Automated Manufacturing Execution Systems (AMESs) can be divided into three principle factors. Moreover, there is no standard framework to be referring which exist nowadays to categorize such factors in order to identify insider threats possible features. Therefore, from the conducted literature a standard theoretical categorization of insider threats framework for AMESs has been proposed. Hence, three principle factors, i.e. Human, Systems and Machine have considered as major categorization of insider threats. Consequently, the possible features for each factor identified based on previous researcher recommendations. Therefore, via identifying possible features and categorize it into principle factors or groups, a standard framework could be derived. These frameworks will contribute more benefit specifically in the manufacturing field as a reference to mitigate an insider threat. Keywords—automated manufacturing execution systems insider threats, factors and features, insider threat categorization framework.
A Case Study on the Adoption of Cloud Computing in Malaysia from The Perspectives of Cloud Providers indrayani, rina; Puad, Noor Hazwani Mohamad; Ali, Asma Md; Suhaimi, Mohd Adam; Hussin, Husnayati
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

The objective of this study is to discover the perspectives of cloud providers towards cloud computing adoption in Malaysia in terms of the challenges faced by cloud providers and reasons for the adoption. Data were collected through semi structured interviews with three cloud providers. The findings indicated security concern, difficulties in learning cloud computing infrastructure, changes in IT roles, high cost of bandwidth and life span of IT equipment as challenges faced by cloud providers in providing cloud service in Malaysia. This study also discovered cloud scalability, end-to-end management, high level security, and customizable as the reasons on cloud computing adoption. The findings of this study help people to understand more about the current situation of cloud computing adoption in Malaysia. Keywords—cloud adoption, cloud computing, cloud providers, Malaysia.
Combined Approach for Teachers’ Evaluation Aspects Identification Using Dictionary and Patterns Based Rengiah, Parimala; Kaewyong, Phuripoj; Salim, Naomie; Phang, Fatin Aliah
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Teacher performance evaluation is a common method and often used for evaluates teaching quality in higher education. With the rapid growth of opinion mining technique. Aspect-based opinion mining application has been possibly employed to extraction and summarization of students' comments for teacher evaluation. However, to automated teacher evaluation features identification from a large number of students' comments collection is very hard work. This study has the goal to address this problem. The main objectives of the proposed method are: (1) to identify teacher evaluation aspects, (2) to compare the efficiency of dictionary based, patterns based and the combination of them, and (3) to enhance the accuracy result in the teachers’ evaluation aspects identification from the unstructured text of students' feedbacks. The students' feedbacks were collected by questionnaires and the dataset was constructed manually with a total of 4,496 sentences from 300 undergraduate student responses in 10 subjects by purposive sampling and the collection of positive and negative sentences from 30 participants group interviewed in the workshop. Both approaches were applied to identify the frequency teachers' evaluation aspects. The experimental results found that our proposed approach provided reasonably more accurate results, the combination approach enhanced a significantly average of precision and recall. For future work, we focus on the application of new linguistic patterns and non-frequency aspects in order to increase the accuracy result. Keywords—aspects identification, lexicon relation, linguistic pattern, opinion mining, teacher evaluation.
Towards Modelling Trust in Voice at Zero Acquaintance Fatimah, Hilmi Azmi; Trisminingsih, Rina; Ooi Yee Hui, Deborah; lutfi, Syaheerah Lebai; Mohamed, Ahmad Sufril Azlan; Akhtar, Zahid
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Trust is essential in many human relationships, especially where there is an element of inter-dependency. However, humans tend to make quick judgements about trusting other individuals, even those met at zero acquaintance. Past studies have shown the significance of voice in perceived trustworthiness, but research associating trustworthiness and different vocal features such as speech rate and fundamental frequency (f0) has yet to yield consistent results. Therefore, this paper proposes a method to investigate 1) the association between trustworthiness and different vocal features, 2) the vocal characteristics that Malaysian ethnic groups base their judgement of trustworthiness on and 3) building a neural network model that predicts the degree of trustworthiness in a human voice. In the method proposed, a reliable set of audio clips will be obtained and analyzed with SoundGen to determine the acoustical characteristics. Then the audio clips will be distributed to a large group of untrained respondents to rate their degree of trust in the speakers of each audio clip. The participants will be able to choose from 30 sets of audio clips which will consist of 6 audio clips each. The acoustic characteristics will be analyzed and com-pared with the ratings to determine if there are any correlations between the acoustic characteristic and the trustworthiness ratings. After that, a neural network model will be built based on the collected data. The neural network model will be able to predict the trustworthiness of a person’s voice. Keywords—prosody, trust, voice, vocal cues, zero acquaintance.
Augmented Reality-Based Mobile Application for Knowledge Transferring in The System of Rice Intensification Latif, Ummi Khaira; Kusumasari, Tien Fabrianti; Kaewyong, Phuripoj; Duangchant, Shatchaya
International Journal of Innovation in Enterprise System Vol. 3 No. 2 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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Abstract

Currently, the System of Rice Intensification (SRI) is one method that can be applied and used to produce seeds of local rice species in highland areas. However, it can currently be seen that the traditional methods to transfer knowledge about SRI from the experts still have limitations in many aspects due to the number of farmers that have experienced success still being low. Some farmers do not have their own fields and it takes a period for farmers to test the rice growing. Currently, mobile devices are widely used in peoples’ lives. Many scholars focus on the application of mobile devices and the augmented reality (AR) technology for the simulation games in many issues while the use of AR-based mobile applications as the learning tools is not widespread. There-fore, in this study, we propose the development of an application on mobile devices with augmented reality technology in order to use it as media in sharing knowledge related to the methods of the System of Rice Intensification by virtual farms simulation. To examine the efficiency of this developed application. A total amount of participants were 512 farmers from 5 regions of Thailand. The experimental results demonstrated that the newly developed AR-based mobile application is effective for improved knowledge on the participants who used the developed application and it can help them to practice their SRI farming skill in the virtual farm simulation. This indicates that the developed AR-based mobile application is the benefits tool for the new knowledge transferring meth-od in the system of rice intensification. For future work, it is necessary to evaluate the farmer success after learning from this AR-based mobile application in order to study the impact of the new method of SRI knowledge transferring. Keywords—augmented reality, knowledge transferring, system of rice intensification.

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